Chance Begets Order: Hierarchical Probabilistic Processes in the Natural Sciences

Loading...
Thumbnail Image

Date

2012

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

485
views
155
downloads

Abstract

At the end of the nineteenth century Charles Sanders Peirce wrote that "chance begets order" - indeterministic or `chancy' processes can underlie orderly and seemingly deterministic processes. Indeed, Peirce argues that indeterminism is the seed of all order in the natural world. The dissertation explores this theme in three parts. The first chapter reconstructs and elaborates Peirce's objections against necessitarianism, the position that all natural laws are perfectly orderly, deterministic. The second chapter examines and elaborates Ronald Aylmer Fisher's sophisticated analogy between gas models from statistical mechanics and his own population genetics models. The final chapter treats a contemporary indeterministic account of biological fitness and examines several points on which intuitions from deterministic theories misinterpret this quintessentially indeterministic position. The dissertation motivates an indeterministic theory of natural law and reinvigorates its implications for hierarchical models of the natural world.

Department

Description

Provenance

Citation

Citation

Crawford, David Robert (2012). Chance Begets Order: Hierarchical Probabilistic Processes in the Natural Sciences. Dissertation, Duke University. Retrieved from https://hdl.handle.net/10161/6184.

Collections


Except where otherwise noted, student scholarship that was shared on DukeSpace after 2009 is made available to the public under a Creative Commons Attribution / Non-commercial / No derivatives (CC-BY-NC-ND) license. All rights in student work shared on DukeSpace before 2009 remain with the author and/or their designee, whose permission may be required for reuse.